Symbol interdependency in symbolic and embodied cognition

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Whether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of statistical regularities in linguistic surface structure tends to be underestimated. The current article gives an overview of the symbolic and embodied cognition accounts and shows how meaning induction attributed to a specific statistical process or to activation of embodied representations should be attributed to language itself. Specifically, the performance of LSA can be attributed to the linguistic surface structure, more than special characteristics of the algorithm, and embodiment findings attributed to perceptual simulations can be explained by distributional linguistic information.

Original languageEnglish
Pages (from-to)273-302
Number of pages30
JournalTopics in Cognitive Science
Volume3
Issue number2
DOIs
Publication statusPublished - Apr 2011
Externally publishedYes

Fingerprint

Linguistics
cognition
symbol
Surface structure
linguistics
Semantics
Language
semantics
language
regularity
Chemical activation
induction
activation
simulation
science
performance

Keywords

  • Symbolic
  • Embodied
  • Amodal
  • Modal
  • Perceptual simulations
  • Symbol interdependency
  • LSA
  • Semantic knowledge

Cite this

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abstract = "Whether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of statistical regularities in linguistic surface structure tends to be underestimated. The current article gives an overview of the symbolic and embodied cognition accounts and shows how meaning induction attributed to a specific statistical process or to activation of embodied representations should be attributed to language itself. Specifically, the performance of LSA can be attributed to the linguistic surface structure, more than special characteristics of the algorithm, and embodiment findings attributed to perceptual simulations can be explained by distributional linguistic information.",
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Symbol interdependency in symbolic and embodied cognition. / Louwerse, Max M.

In: Topics in Cognitive Science, Vol. 3, No. 2, 04.2011, p. 273-302.

Research output: Contribution to journalArticleScientificpeer-review

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